{"id":"W2969848341","doi":"10.1111/ibi.12771","title":"Predictable shorebird departure patterns from a staging site can inform collision risks and mitigation of wind energy developments","year":2019,"lang":"en","type":"article","venue":"Ibis","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Saskatchewan Ministry of Agriculture; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; University of Saskatchewan","keywords":"Bird migration; Calidris; Wind power; Geography; Population; Wildlife; Wind speed; Circumpolar star; Environmental science; Meteorology; Physical geography; Habitat; Ecology; Geology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002967378,0.0002229884,0.0001219541,0.0006232968,0.0003814379,0.0006747803,0.0001900152,0.0001778245,0.001752777],"category_scores_gemma":[0.001020881,0.0001345874,0.0001467925,0.0004161623,0.0001610645,0.0003335836,0.000320034,0.0002802954,0.0003953104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006068106,"about_ca_system_score_gemma":0.0005446012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09180112,"about_ca_topic_score_gemma":0.3509927,"domain_scores_codex":[0.9998666,0.00002795334,0.000008368848,0.00004440707,0.00002021359,0.00003236987],"domain_scores_gemma":[0.9994957,0.00006301419,0.000219565,0.00002965337,0.0001115388,0.0000804893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002313613,0.00001723734,0.9873239,0.00001873299,0.00002867051,0.0000358736,0.000258301,0.0007686806,0.0007888652,0.00006026117,0.0007167594,0.009959457],"study_design_scores_gemma":[0.000001378969,0.00002459668,0.9971203,0.00001390004,0.00001049578,0.0000197903,0.0007049933,0.001005017,0.0001505615,0.00005269769,0.0008917905,0.000004592871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946877,0.0001246615,0.001216668,0.00007957226,0.0000123255,0.00002104154,0.001584095,0.00002953691,0.002244369],"genre_scores_gemma":[0.9965836,0.0001510902,0.001618407,0.00002483841,0.000004996416,0.00001616667,0.001085287,0.000006024174,0.0005095144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09180112,"threshold_uncertainty_score":0.1825335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008681496818120282,"score_gpt":0.2152104238834167,"score_spread":0.2065289270652964,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}